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At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 5,000 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.

We are looking for a Data Engineering Team Lead to drive the development and optimization of our data infrastructure.

Why is this role so important at Similarweb?
In this role, you will lead a team of data engineers, collaborating closely with cross-functional teams to design, build, and maintain scalable, efficient, and reliable data solutions. You will be responsible for architecting and implementing data pipelines, integrating complex data models, and ensuring data integrity to support business intelligence and analytics needs.




So, what will you be doing all day?

Lead & Mentor: Provide technical leadership and mentorship, setting clear goals, fostering innovation, managing stakeholders and guiding the professional growth of the team.
Data Infrastructure Development: Design and enhance scalable data architectures and pipelines to support current and future business needs.
ETL & Data Processing: Develop and maintain ETL processes, integrating data from various sources (APIs, databases, external platforms) using Python, SQL, and cloud technologies.
Cloud & Big Data Technologies: Implement solutions using PySpark, Databricks, Airflow, and cloud platforms (AWS) to process large-scale datasets efficiently.
Monitoring & Optimization: Ensure system reliability, observability, and performance using monitoring, logging, and alerting tools.
Collaboration & Stakeholder Engagement: Work closely with BI analysts, business stakeholders, and cross-functional teams to define data requirements and enable self-service BI capabilities.
Data Modeling: Design and maintain logical and physical data models to support analytics and operational needs.

Join our AI & Innovation group as a Data Scientist and help shape the future of AI-driven security solutions. Youll work with a team of passionate, sharp-minded professionals tackling complex challenges at the intersection of AI, data science, and cybersecurity building the next generation of security products at the core of Check Points strategy.

Youll have access to some of the best cybersecurity data sources available, working in a fast-moving, dynamic environment that blends the agility of a startup with the scale and stability of a global leader.

If youre excited about solving real-world AI challenges, translating research into impactful solutions, and collaborating with top talent to push the boundaries of innovation we want to hear from you.

Key Responsibilities
Translate ambiguous product or business challenges into well-defined data science problems
Research and prototype cutting-edge AI techniques (LLMs, RAG, knowledge graphs, etc.)
Design and implement data-driven algorithms, analyze data, build and evaluate models
Collaborate with engineering to deploy scalable, production-ready solutions
Work with product teams to align AI solutions with user needs and business goals
Collaborate cross-functionally with engineers, product managers, and fellow scientists to bring research into production and deliver measurable impact
Stay current with advancements in AI/ML and generative AI, and actively contribute to innovation within the team and broader organization

solutions to the global gaming industry. To put it simply - we make Mobile and Facebook games that are fun to play, fun to make, and we're growing like crazy! SciPlay's reach is made possible by the expertise of our rock star teams and game makers. Want to be part of a fast-paced company that lands in the Top 1% of Social Casino games? See more details below!

Position Summary

We're looking for a BI Developer to join our global team and work on our massive data processing pipeline and help us deliver insights.
If you have a passion for data, you embrace an agile, success-driven culture, are an excellent communicator, we would love to talk soon.

Responsibilities

Pull data from various data sources and integrate into the ETL process
Optimize workloads to reduce cost and improve performance
Develop monitoring over BI infrastructure
Translate business requirements to technical specifications
Work closely with Product analysts, Marketing, Data Scientists and Finance to deliver insights
Design and own our DWH
Work with a variety of databases (Redshift, Snowflake, Databricks, MySQL)
Monitor the integrity and validity of the data
Design and develop data visualizations (Tableau)
Maintain our Platforms (Snowflake, Tableau etc.)

We are looking for a professional and enthusiastic BI Developer to join our team! The BI Developer will be responsible for defining and building our data pipelines and analytics infrastructure. You will work closely with product managers, R&D engineers, and business stakeholders to support new initiatives and proactively improve our data solutions. You will help create and manage data processes for actionable insights and operational needs.

If you are passionate about data modeling and data processing, with excellent visualization and analytical skills, this job is for you.

Key Responsibilities
As a BI Developer, you will be responsible for:

Design, build, and maintain end-to-end easy-to-use data solutions. This includes orchestration, data modeling, dashboards, monitoring, alerting, experimentation models, etc.
Collaborate effectively with cross-department stakeholders to capture analytical requirements
Analyze complex datasets, and provide useful actionable recommendations

Join our AI & Innovation group as a Data Science Team Lead and drive the development of intelligent, data-driven solutions at the core of our next-generation security products.
Were looking for a hands-on leader to guide a team of talented data scientists, transforming complex data into impactful insights and AI capabilities that power a cutting-edge, real-time cybersecurity platform.

In this role, youll lead the research, design, and implementation of data science models from ideation to production working closely with engineers and product teams to integrate machine learning into large-scale, high-performance systems. Youll be part of a fast-moving, innovation-driven group that blends startup-style agility with the strength of a global cybersecurity leader. If you're passionate about applied machine learning, leading top talent, and solving real-world challenges with AI wed love to connect.

Key Responsibilities
Lead and mentor a team of data scientists, guiding their technical growth and fostering a collaborative, high-performing team culture
Own the full lifecycle of data science projects from problem definition, research, and experimentation to model development, evaluation, and deployment
Translate business and product goals into well-defined data science problems, and identify high-impact opportunities to apply AI and machine learning
Collaborate closely with AI engineers and software developers to integrate models into a scalable, production-grade system
Ensure product reliability, explainability, and performance, to achieve goals in real-world environments
Stay up-to-date with the latest developments in AI/ML research and tools, and promote a culture of innovation